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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Chunfeng Qi, Xiaogang Pu, Wei Peng, Qunan Ouyang, Danyuan Wang, Zhe Liu and Fei Wang
Ship locks on mountain rivers usually experience difficulties owing to harsh flow conditions such as strong oblique flow and backflow, which significantly affect navigation safety and efficiency. To improve navigation conditions, a structural measure inv...
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Alina Santa Cruz, Duc Hau Nguyen and Sylvain S. Guillou
Proper orthogonal decomposition (POD) is used to examine the release of highly concentrated water?sediment mixture in water, with or without ambient current. This technique allows us to extract the dominant features in spatio-temporal data sets and the P...
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Olga Papadopoulou , Themistoklis Makedas , Lazaros Apostolidis , Francesco Poldi , Symeon Papadopoulos and Ioannis Kompatsiaris
The proliferation of online news, especially during the ?infodemic? that emerged along with the COVID-19 pandemic, has rapidly increased the risk of and, more importantly, the volume of online misinformation. Online Social Networks (OSNs), such as Facebo...
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Aopeng Xu, Zhiyuan Zhang, Xiaqing Ma, Zixiang Zhang and Tao Xu
As a basic method of spatial data operation, spatial keyword query can provide meaningful information to meet user demands by searching spatial textual datasets. How to accurately understand users? intentions and efficiently retrieve results from spatial...
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